Dataset Versions
v2
2023-09-06 4:11pm
Generated on Sep 6, 2023
13540 Total Images
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Dataset Split
Train Set 89%
12024Images
Valid Set 7%
964Images
Test Set 4%
552Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±17° Horizontal, ±17° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.25px
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels